Transcriptomics
Transcriptomics is the study of the transcriptome—the complete set of RNA transcripts produced by the genome of an organism or cell under specific conditions. It involves analyzing RNA expression levels, alternative splicing, and post-transcriptional modifications to understand gene function, regulation, and cellular responses. This field is crucial in biology, medicine, and biotechnology for insights into development, disease mechanisms, and drug discovery.
Developers should learn transcriptomics when working in bioinformatics, computational biology, or healthcare data science, as it enables analysis of gene expression data from technologies like RNA-seq or microarrays. It's essential for applications such as identifying disease biomarkers, understanding drug responses, and studying genetic regulation in research or clinical settings. Knowledge of transcriptomics helps in developing algorithms, tools, and pipelines for processing and interpreting large-scale biological datasets.